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20032023
most citedLinear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control

1.2k citations · 3.3k across the 35 of their papers we have counts for

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5 papers · 1 filter

eess.SY2019

Control-Oriented, Data-Driven Models of Thermal Dynamics

Ljuboslav Boskic, Igor Mezic

Energy savings from efficiency methods in individual residential buildings are measured in 10's of dollars, while the energy savings from such measures nationally would amount to 1…

eess.SY2019

Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control

Carl Folkestad, Daniel Pastor, Igor Mezic +3

This paper presents a novel learning framework to construct Koopman eigenfunctions for unknown, nonlinear dynamics using data gathered from experiments. The learning framework can…

eess.SY2017★ 84 cited

Applied Koopman Operator Theory for Power Systems Technology

Yoshihiko Susuki, Igor Mezic, Fredrik Raak +1

Koopman operator is a composition operator defined for a dynamical system described by nonlinear differential or difference equation. Although the original system is nonlinear and…

eess.SY2017★ 7 cited

Whole-Building Fault Detection: A Scalable Approach Using Spectral Methods

Michael Georgescu, Sophie Loire, Don Kasper +1

In this paper, an extension to rules-based fault detection is demonstrated utilizing properties of the Koopman operator. The Koopman operator is an infinite-dimensional, linear ope…

eess.SY2011

Scalable Approach to Uncertainty Quantification and Robust Design of Interconnected Dynamical Systems

Andrzej Banaszuk, Vladimir A. Fonoberov, Thomas A. Frewen +8

Development of robust dynamical systems and networks such as autonomous aircraft systems capable of accomplishing complex missions faces challenges due to the dynamically evolving…